
subcontractor-payment-tracker
Track subcontractor payments, lien waivers, and compliance. Manage payment schedules and documentation.
- Installs
- 119
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill subcontractor-payment-tracker- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads subcontractor-payment-tracker automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Subcontractor Payment Tracker
Business Case
Problem Statement
Subcontractor payments require careful management:
- Complex payment schedules
- Lien waiver tracking
- Compliance documentation
- Cash flow coordination
Solution
Comprehensive subcontractor payment tracking with lien waiver management, compliance monitoring, and payment scheduling.
Technical Implementation
import pandas as pd
from datetime import datetime, date, timedelta
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class PaymentStatus(Enum):
SCHEDULED = "scheduled"
INVOICED = "invoiced"
APPROVED = "approved"
PAID = "paid"
HELD = "held"
DISPUTED = "disputed"
class WaiverType(Enum):
CONDITIONAL_PROGRESS = "conditional_progress"
UNCONDITIONAL_PROGRESS = "unconditional_progress"
CONDITIONAL_FINAL = "conditional_final"
UNCONDITIONAL_FINAL = "unconditional_final"
@dataclass
class LienWaiver:
waiver_id: str
waiver_type: WaiverType
through_date: date
amount: float
received_date: Optional[date]
file_path: str = ""
@dataclass
class SubcontractorPayment:
payment_id: str
subcontractor_id: str
invoice_number: str
invoice_date: date
amount: float
retention_held: float
status: PaymentStatus
scheduled_date: date
paid_date: Optional[date] = None
check_number: str = ""
lien_waiver: Optional[LienWaiver] = None
notes: str = ""
@dataclass
class Subcontractor:
sub_id: str
company_name: str
contact_name: str
email: str
phone: str
contract_amount: float
retention_percent: float
trade: str
payments: List[SubcontractorPayment] = field(default_factory=list)
insurance_expiry: Optional[date] = None
license_number: str = ""
@property
def total_paid(self) -> float:
return sum(p.amount for p in self.payments if p.status == PaymentStatus.PAID)
@property
def total_retention(self) -> float:
return sum(p.retention_held for p in self.payments)
@property
def balance_remaining(self) -> float:
return self.contract_amount - self.total_paid - self.total_retention
class SubcontractorPaymentTracker:
"""Track subcontractor payments and compliance."""
def __init__(self, project_name: str):
self.project_name = project_name
self.subcontractors: Dict[str, Subcontractor] = {}
self._payment_counter = 0
def add_subcontractor(self, company_name: str, contact_name: str, email: str,
phone: str, contract_amount: float, trade: str,
retention_percent: float = 0.10) -> Subcontractor:
sub_id = f"SUB-{len(self.subcontractors) + 1:03d}"
sub = Subcontractor(
sub_id=sub_id,
company_name=company_name,
contact_name=contact_name,
email=email,
phone=phone,
contract_amount=contract_amount,
retention_percent=retention_percent,
trade=trade
)
self.subcontractors[sub_id] = sub
return sub
def record_invoice(self, sub_id: str, invoice_number: str, invoice_date: date,
gross_amount: float, scheduled_date: date = None) -> SubcontractorPayment:
if sub_id not in self.subcontractors:
raise ValueError(f"Subcontractor {sub_id} not found")
sub = self.subcontractors[sub_id]
self._payment_counter += 1
retention = gross_amount * sub.retention_percent
net_amount = gross_amount - retention
payment = SubcontractorPayment(
payment_id=f"PAY-{self._payment_counter:05d}",
subcontractor_id=sub_id,
invoice_number=invoice_number,
invoice_date=invoice_date,
amount=net_amount,
retention_held=retention,
status=PaymentStatus.INVOICED,
scheduled_date=scheduled_date or invoice_date + timedelta(days=30)
)
sub.payments.append(payment)
return payment
def approve_payment(self, payment_id: str, sub_id: str):
sub = self.subcontractors.get(sub_id)
if not sub:
return
for payment in sub.payments:
if payment.payment_id == payment_id:
payment.status = PaymentStatus.APPROVED
break
def record_payment(self, payment_id: str, sub_id: str, check_number: str,
paid_date: date = None):
sub = self.subcontractors.get(sub_id)
if not sub:
return
for payment in sub.payments:
if payment.payment_id == payment_id:
payment.status = PaymentStatus.PAID
payment.paid_date = paid_date or date.today()
payment.check_number = check_number
break
def attach_lien_waiver(self, payment_id: str, sub_id: str, waiver_type: WaiverType,
through_date: date, amount: float, received_date: date = None):
sub = self.subcontractors.get(sub_id)
if not sub:
return
for payment in sub.payments:
if payment.payment_id == payment_id:
waiver = LienWaiver(
waiver_id=f"LW-{payment_id}",
waiver_type=waiver_type,
through_date=through_date,
amount=amount,
received_date=received_date or date.today()
)
payment.lien_waiver = waiver
break
def get_pending_payments(self) -> List[Dict[str, Any]]:
pending = []
for sub in self.subcontractors.values():
for payment in sub.payments:
if payment.status in [PaymentStatus.INVOICED, PaymentStatus.APPROVED]:
pending.append({
'payment_id': payment.payment_id,
'subcontractor': sub.company_name,
'invoice': payment.invoice_number,
'amount': payment.amount,
'scheduled': payment.scheduled_date,
'status': payment.status.value,
'has_waiver': payment.lien_waiver is not None
})
return sorted(pending, key=lambda x: x['scheduled'])
def get_missing_waivers(self) -> List[Dict[str, Any]]:
missing = []
for sub in self.subcontractors.values():
for payment in sub.payments:
if payment.status == PaymentStatus.PAID and not payment.lien_waiver:
missing.append({
'subcontractor': sub.company_name,
'payment_id': payment.payment_id,
'amount': payment.amount,
'paid_date': payment.paid_date
})
return missing
def get_summary(self) -> Dict[str, Any]:
total_contract = sum(s.contract_amount for s in self.subcontractors.values())
total_paid = sum(s.total_paid for s in self.subcontractors.values())
total_retention = sum(s.total_retention for s in self.subcontractors.values())
return {
'project': self.project_name,
'total_subcontractors': len(self.subcontractors),
'total_contract_value': total_contract,
'total_paid': total_paid,
'total_retention_held': total_retention,
'remaining_to_pay': total_contract - total_paid - total_retention,
'pending_payments': len(self.get_pending_payments()),
'missing_waivers': len(self.get_missing_waivers())
}
def export_report(self, output_path: str):
with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
# Summary by subcontractor
sub_data = [{
'ID': s.sub_id,
'Company': s.company_name,
'Trade': s.trade,
'Contract': s.contract_amount,
'Paid': s.total_paid,
'Retention': s.total_retention,
'Balance': s.balance_remaining
} for s in self.subcontractors.values()]
pd.DataFrame(sub_data).to_excel(writer, sheet_name='Subcontractors', index=False)
# All payments
pay_data = []
for sub in self.subcontractors.values():
for p in sub.payments:
pay_data.append({
'Payment ID': p.payment_id,
'Subcontractor': sub.company_name,
'Invoice': p.invoice_number,
'Amount': p.amount,
'Retention': p.retention_held,
'Status': p.status.value,
'Scheduled': p.scheduled_date,
'Paid': p.paid_date,
'Waiver': p.lien_waiver.waiver_type.value if p.lien_waiver else 'Missing'
})
if pay_data:
pd.DataFrame(pay_data).to_excel(writer, sheet_name='Payments', index=False)
return output_path
Quick Start
tracker = SubcontractorPaymentTracker("Office Tower")
# Add subcontractor
sub = tracker.add_subcontractor(
company_name="ABC Electrical",
contact_name="John Smith",
email="john@abcelectric.com",
phone="555-1234",
contract_amount=500000,
trade="Electrical"
)
# Record invoice
payment = tracker.record_invoice(sub.sub_id, "INV-001", date.today(), 50000)
# Approve and pay
tracker.approve_payment(payment.payment_id, sub.sub_id)
tracker.record_payment(payment.payment_id, sub.sub_id, "CHK-12345")
# Attach waiver
tracker.attach_lien_waiver(payment.payment_id, sub.sub_id,
WaiverType.UNCONDITIONAL_PROGRESS, date.today(), 50000)
Resources
- DDC Book: Chapter 3.1 - Cost Management
FAQ
What does the subcontractor-payment-tracker skill do?
Track subcontractor payments, lien waivers, and compliance. Manage payment schedules and documentation.
How do I install subcontractor-payment-tracker?
Run npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill subcontractor-payment-tracker in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/subcontractor-payment-tracker/ (personal) or .claude/skills/subcontractor-payment-tracker/ (project).
Which AI agents can use subcontractor-payment-tracker?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is subcontractor-payment-tracker safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains subcontractor-payment-tracker?
It is published by datadrivenconstruction in datadrivenconstruction/ddc_skills_for_ai_agents_in_construction. It has 119 recorded installs.
More from datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
warranty-tracker
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Track and manage construction warranties. Monitor expiration dates, claims, and manufacturer documentation.
cad-to-data
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Convert CAD/BIM files to structured data. Extract element data from Revit, IFC, DWG, DGN files.
dwg-to-excel
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.
drawing-analyzer
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.
permit-tracking-automation
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Automate construction permit tracking and management. Monitor application status, track renewal deadlines, manage document requirements, and integrate with municipal systems.
cost-estimation-resource
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.
Popular backend & apis skills
find-skills
vercel-labs/skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
entra-app-registration
microsoft/azure-skills
Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Key Vault secrets (use azure-keyvault-expiration-audit), general Azure resource security guidance.
google-agents-cli-adk-code
google/agents-cli
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, state management, the graph Workflow API, and reference recipes to study. Do NOT use for scaffolding (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).
embedded-captions
heygen-com/hyperframes
Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet anchor rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subject matting; split multi-shot footage before applying it.
entra-agent-id
microsoft/azure-skills
Provision Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance Agent Identities via Microsoft Graph, and configure OAuth 2.0 token exchange (fmipath, OBO, cross-tenant) including the Microsoft Entra SDK for AgentID sidecar. USE FOR: Agent Identity Blueprint, BlueprintPrincipal, agent OAuth, fmipath token exchange, agent OBO, Workload Identity Federation for agents, polyglot agent auth, Microsoft.Identity.Web.AgentIdentities. DO NOT USE FOR: standard Entra app registration (use entra-app-registration), Microsoft Foundry agent authoring (use microsoft-foundry).
neon
neondatabase/agent-skills
Overview of Neon, a complete set of cloud backend primitives around Lakebase Postgres: Auth, Object Storage, Functions, the AI Gateway, and Realtime. Start here to choose Neon for undecided login, files, APIs, and LLM calls, set up the CLI or MCP server, and follow the branch-first workflow. Use when building an app or backend on Neon, or when "Neon" or "Lakebase Postgres" is mentioned. Child skill neon-postgres wins for an existing DATABASEURL, SQL, schema, inspect, or search. Child skill neon-auth wins for login, users, sessions, identity routing, and Managed Better Auth setup. Child skill neon-realtime wins for live queries in reactive apps and agents. Also use for object storage, S3, buckets, serverless functions, function triggers, cron, AI gateway, LLM calls, realtime, logs, Loki, Grafana, observability, postgres, database, backend, Claimable Neon, neon.new, or a no-signup database.